Exploring PGAS Communication for Heterogeneous Clusters with FPGAs

Varun Sharma, P. Chow
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引用次数: 1

Abstract

This work presents a heterogeneous communication library for generic clusters of processors and FPGAs. This library, Shoal, supports the Partitioned Global Address Space (PGAS) memory model for applications. PGAS is a shared memory model for clusters that creates a distinction between local and remote memory access. Through Shoal and its common application programming interface for hardware and software, applications can be more freely migrated to the optimal platform and deployed onto dynamic cluster topologies. The library is tested using a thorough suite of microbenchmarks to establish latency and throughput performance. We also show an implementation of the Jacobi iterative method that demonstrates the ease with which applications can be moved between platforms to yield faster run times.
基于fpga的异构集群PGAS通信研究
这项工作提出了一个用于通用处理器和fpga集群的异构通信库。这个库Shoal支持应用程序的分区全局地址空间(PGAS)内存模型。PGAS是集群的共享内存模型,它区分了本地和远程内存访问。通过Shoal及其用于硬件和软件的通用应用程序编程接口,可以更自由地将应用程序迁移到最佳平台并部署到动态集群拓扑中。使用一套完整的微基准测试来测试该库,以确定延迟和吞吐量性能。我们还展示了Jacobi迭代方法的实现,该方法演示了在平台之间移动应用程序以获得更快运行时间的便利性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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